Research and Development Centre, Bharathiar University, Coimbatore, India.
Department of Radiotherapy Government Rajaji Hospital & Madurai Medical College, Madurai, Tamil Nadu, India.
Asian Pac J Cancer Prev. 2021 May 1;22(5):1383-1391. doi: 10.31557/APJCP.2021.22.5.1383.
To verify if computed tomography (CT) radiomics were reproducible by cone beam CT (CBCT) radiomics by using Catphan® 504.
Catphan® 504 was imaged using the default IGRT OBI CBCT imaging protocols and CT scanner. Seven known density image regions of the phantom were segmented and image feature was extracted by Imaging Biomarker Explorer (IBEX) software. The 49 selected features from four feature categories were analyzed by considering each region of interest (ROI) segment as individual image set. Correlation was studies using interclass correlation coefficient (ICC) and Pearson's correlation coefficient.
The ICC of the three feature categories, namely intensity, GLCM, and GLRLM was significant (p-value<0.05) in comparison with CT, while the ICC of the fourth feature category, NID, was no significant. The average absolute Pearson's correlation coefficient from the features of the images was as follows: CT: r=0.679±0.257, CBCThead: r=0.707±0.231, CBCTthorax: r=0.643±0.260, and CBCTpelvis: r=0.594±0.276.
It seems that the various densities of Catphan® 504 ROI image segments of the CT radiomics are reproducible with CBCT radiomics and CBCT radiomics can be used as an independent modality.
通过使用 Catphan® 504 来验证锥形束 CT（CBCT）放射组学是否可重现计算机断层扫描（CT）放射组学。
使用默认的 IGRT OBI CBCT 成像协议和 CT 扫描仪对 Catphan® 504 进行成像。对体模的七个已知密度图像区域进行分割，并使用成像生物标志物探索者（IBEX）软件提取图像特征。通过将每个感兴趣区域（ROI）分割视为单个图像集，分析来自四个特征类别中的 49 个选定特征。使用组内相关系数（ICC）和 Pearson 相关系数研究相关性。
与 CT 相比，三个特征类别（强度、GLCM 和 GLRLM）的 ICC 具有统计学意义（p 值<0.05），而第四个特征类别 NID 的 ICC 则无统计学意义。来自图像特征的平均绝对 Pearson 相关系数如下：CT：r=0.679±0.257，CBCThead：r=0.707±0.231，CBCTthorax：r=0.643±0.260，和 CBCTpelvis：r=0.594±0.276。
似乎 CT 放射组学的 Catphan® 504 ROI 图像各部分的不同密度可通过 CBCT 放射组学重现，并且 CBCT 放射组学可以作为一种独立的模态。
